AI Use Case Designer
Role details
Job location
Tech stack
Job description
Translate concrete business problems such as sponsor fit assessment or dynamic pricing into agent specifications: scope, inputs, outputs, framework logic, and guardrails
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Reasoning & workflow architecture Design the agent's reasoning structure and prompt/workflow architecture in close collaboration with Tech: single assistant vs. retrieval-driven vs. multi-step agent with tool access, and the orchestration logic in between
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Knowledge requirements per agent Define the knowledge slice each agent needs and work with the Knowledge Architect to ensure it exists at the required quality and granularity
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Evals & quality gates Build and run evals: golden test sets, quality gates, A/B tests in production, and feedback loops from Key Account Management and end users, so iteration is structured rather than vibes-based
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Backlog & prioritization Own the agent backlog and the value × complexity prioritization, and lead the conceptualization work for new agents as the library grows
Requirements
- At least 2 years of experience in AI product design, prompt engineering, applied AI and hands-on work with prompts, RAG, and orchestrated agents in real products, and a clear sense of when to use which
- Product thinking: you can decompose a fuzzy workflow into a testable, shippable agent with a clear definition of a good output
- Cross-functional fluency: you sit between Knowledge, Tech, and Key Account Management and can translate between all three
- Domain literacy in the sports business such as sponsorship, pricing, or commercial operations, or a proven track record of ramping up quickly with subject-matter experts
- A completed degree in computer science, cognitive science, product design, linguistics, or a comparable field
- Strong communication skills in English, German is a plus
- Confident handling of digital tools and remote-work environments
Benefits & conditions
Pulled from the full job description
- Flexible schedule, * Foundational role: Shape the knowledge layer of a new AI product from day one and see your work in every agent that goes live
- Flexible working: Remote or in our Berlin office, with flexible working hours
- Room for your ideas: Your expertise counts. Bring in your own concepts and implement them
- Strong team spirit: Collaboration at eye level, regular team events
- Real impact: Shape how AI is applied in the sports business and help define a new commercial standard for leagues and clubs
- Tap Into a Strong Network: Our experienced founding team, dedicated colleagues, and wide network of experts enable us to collaborate with international top-tier leagues and partners